---
tags:
- federated-learning
- shufflenet
- CIFAR-10
- norm_clipping
datasets:
- CIFAR-10
---

# shufflenet - Federated Learning Round 56

## Model Details
- **Architecture**: shufflenet
- **Dataset**: CIFAR-10
- **Training Strategy**: norm_clipping
- **Round**: 56
- **Number of Classes**: 10

## Training Information
This model was trained using federated learning with the norm_clipping aggregation strategy.

## Usage
```python
import torch

model = torch.load("pytorch_model.bin")
model.eval()
```